Forward Deployed Engineer (FDE)

Tata Consultancy Services; India; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Tata Consultancy Services is seeking engineers to build prototypes and multi-modal demonstrations using Gemini APIs, Vertex AI, and Google Cloud.

The role focuses on developing agentic workflows, lightweight integrations, and rapid technical validation across deal cycles. Strong English communication is essential to translate prototype outcomes into clear business value.

Qualifications

• 2–5 years total experience, including 1–3 years in AI
• Bachelor's degree in Engineering or Computer Science
• Strong written and spoken English

Responsibilities

• Build working prototypes, proofs of concept, and multi-modal demonstrations using Gemini APIs, Vertex AI, and Google Cloud.
• Develop agentic workflows and lightweight integrations to validate technical feasibility for customer-specific scenarios.
• Own technical validation across deal cycles by translating Gemini Enterprise capabilities into deployable prototype outcomes.
• Apply prompt engineering and Google Gemini ADK to improve prototype quality, usability, and business relevance.
• Translate prototype outcomes into value narratives that support decision-making and accelerate customer progression.

Skills

Prototyping with cloud APIs

Gemini APIs

Vertex AI

Google Cloud

Prompt engineering

AI application environments

Agentic workflows

Lightweight integrations

Cross-functional collaboration

English proficiency

Education

Bachelors degree in Engineering or Computer Science

Job description

Key Responsibilities

• Build working prototypes, proof points, and multi-modal demonstrations using Gemini APIs, Vertex AI, and Google Cloud.
• Develop agentic workflows and lightweight integrations to validate technical feasibility for customer-specific scenarios.
• Own technical validation across deal cycles by rapidly translating Gemini Enterprise capabilities into deployable prototype outcomes.
• Apply prompt engineering and Google Gemini ADK to improve prototype quality, usability, and business relevance.
• Translate prototype outcomes into value narratives that support decision-making and accelerate customer progression.

Must-Have Skills and Experience

• Strong hands-on engineering skills with experience building prototypes, integrations, or solution accelerators using cloud and API-based technologies.
• Experience with Gemini APIs, Vertex AI, Google Cloud, prompt engineering, or similar AI application environments.
• Ability to develop agentic workflows, lightweight integrations, and multi-modal demonstrations for customer or partner scenarios.
• Strong communication and cross-functional collaboration skills with the ability to connect technical validation to business value.
• Total experience: 2 to 5 years, including 1 to 3 years of AI experience, with strong written and spoken English.
• Bachelors degree in Engineering or Computer Science.

Preferred Skills

• Google Professional ML Engineer certification is preferred.
• Gemini Enterprise Partner Certification preferred.
• Google Associate Cloud Engineer certification preferred.
• Applied analytics experience and the ability to convert prototype outcomes into clear value narratives are preferred.